GoodData is an analytics platform used by organizations to deliver real-time, governed insights, embedded into products, customized for users, and integrated into any data environment. At the heart of GoodData is a universal semantic layer: a shared, code-defined model that maps raw data into consistent business concepts, metrics, and logic. Metrics are authored once and reused across every dashboard, app, or API, to ensure accuracy, governance, and trust wherever analytics are…
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Tableau Desktop
Score 8.1 out of 10
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Tableau Desktop is a data visualization product from Tableau. It connects to a variety of data sources for combining disparate data sources without coding. It provides tools for discovering patterns and insights, data calculations, forecasts, and statistical summaries and visual storytelling.
All platforms have great features and strengths, but I particularly enjoyed the ease of use of the GoodData platform. Most tools like Tableau and Power BI have a bit of a learning curve, but GoodData was simple and easy from the start.
For analysts, Tableau is far better because of better graph visualization. Tableau does not need to deal with the amount of uploaded data. Our company uses Gooddata because of its unbeatable price.
I was involved in the decision making but not final decision maker. Ease of implementation for GoodData vs Cognos (used for 15 years in multiple companies). I think Tableau's visualizations are better, but there is much that just can't be done in Tableau that GoodData handles …
GoodData is best among every other platform I used because it's a cloud based platform and way to easy to use. Its robust predictive analytics and unified data view set it way apart. While Power BI and Tableau excel in visualization, GoodData's focus on comprehensive business …
Tableau is fantastic for visuals, and Zoho Analytics is user-friendly, but GoodData takes the cake with its seamless integration and powerful analytics. It stacks up well because it's not just about pretty graphs but it's about making data work for you. It's the perfect fit for …
I have used all softwares in my past 10 years of experience. GoodData stands out with its seamless data integration, advanced predictive analytics, and collaborative features. Unlike Tableau and Power BI, GoodData offers scalable solutions with a user-friendly interface for …
Select Good data because it has simpler options, the other tool has, from my point of view, many options that are not clear and what I look for for my clients in the small business sector is ease of implementation, simple data loading and immediate dashboard generation , …
The hosted GoodData platform is simple to set up and provides a clean dashboarding experience that can be shared with users easily. Other products can often try to fill the self-service and dashboard roles in one interface which can be a bit full on.
GoodData provides the largest amount of OOB features that meet our end-user needs. It means a lot that we don't need to perform development on our own. At some point, it may make sense to take items in house, but its hte best current fit.
Choosing between GoodData and other platforms was clear for me as the superiority of GoodData over others due to our needs. GoodData stands out for its awesome dashboards, robust predictive analytics, reports, and analysis. Data integration helps us for business intelligence …
GoodData was more cost effective and did not necessitate additional spend on internal resources. The end user interface was easy to use and did not require additional set up or customization. The clients required little support from the Prometric staff to use the product.
In GoodData we really liked the fact that sales and engineering were on our side from the beginning, the calls were very easy to book and were efficient with clear agenda and participants. We also got invited on Slack were we had support from the team and also we liked the …
GoodData can handle the large data sets without the use of a Data Warehouse. But it is expensive compared to its competitors. We also use and like Power BI and TARGIT dashboards as well.
I wasn't involved in the process to decide on GoodData but for our purposes GoodData is more robust than the other two and we needed that to build our LDM in a robust, reliable and scalable way
I actually investigated around 20 options and in most part the embedding + multi tenant mode that became a key concern. They either do not have the support or the price scaling is terrible or the startup cost is prohibitive. On the average startup cost is around 50k per year and …
With Tableau Desktop, it's easy to create a report in the
context quickly. It allows for the seamless management of the data sources,
which is convenient for the data users. Because it is simple to use, it is
Features
GoodData
Tableau Desktop
BI Standard Reporting
Comparison of BI Standard Reporting features of Product A and Product B
GoodData
7.9
63 Ratings
12% above category average
Tableau Desktop
8.3
167 Ratings
2% above category average
Pixel Perfect reports
7.947 Ratings
8.8139 Ratings
Customizable dashboards
8.763 Ratings
8.4166 Ratings
Report Formatting Templates
7.052 Ratings
7.8145 Ratings
Ad-hoc Reporting
Comparison of Ad-hoc Reporting features of Product A and Product B
GoodData
7.7
62 Ratings
0% below category average
Tableau Desktop
8.7
164 Ratings
8% above category average
Drill-down analysis
7.460 Ratings
8.6159 Ratings
Formatting capabilities
7.062 Ratings
9.2162 Ratings
Report sharing and collaboration
7.458 Ratings
9.3157 Ratings
Integration with R or other statistical packages
00 Ratings
7.7122 Ratings
Data Discovery and Visualization
Comparison of Data Discovery and Visualization features of Product A and Product B
If you have consistently formatted data, that you want regular reports on, plus flexibility to let end users build their own reports, GoodData is perfect. Especially if your end users are less technical. If you want to be able to embed your reporting into your app, GoodData excels, though the start up process can be involved. If your data structure varies, it could be more challenging to integrate. It may also not be worth the integration if you have people who can already run their own SQL queries.
The best scenario is definitely to collect data from several sources and create dedicated dashboards for specific recipients. However, I miss the possibility of explaining these reports in more detail. Sometimes, we order a report, and after half a year, we don't remember the meaning of some data (I know it's our fault as an organization, but the tool could force better practices).
GoodData provides advanced analytics for predictive modeling. This assists in identifying potential issues before they arise, and making proactive decisions.
GoodData prioritizes data security and compliance, providing features that help IT firms like ours adhere to regulatory requirements.
GoodData gives high customization dashboards, allows us professionals to create tailored view of KPI.
An excellent tool for data visualization, it presents information in an appealing visual format—an exceptional platform for storing and analyzing data in any size organization.
Through interactive parameters, it enables real-time interaction with the user and is easy to learn and get support from the community.
Good Data is already have certain customizable options. However, having more flexibility in customizing reports and dashboards & control over the visual aspects would enhance the overall user experience.
To make Good Data even more powerful tool, improving the speed and responsiveness of the tool, especially during data-intensive tasks, would be a significantly helpful.
For new users, the interface can be made more user friendly which would promote easy navigation through features of tool.
Because gooddata really helps us in processing data to make reports or dashboards. So we are very satisfied when we use it. What we like is the flexible use of charts. We change at will the use of charts to display in reports or dashboards. Thank you Gooddata for helping companies like us who need flexibility in usage
Our use of Tableau Desktop is still fairly low, and will continue over time. The only real concern is around cost of the licenses, and I have mentioned this to Tableau and fully expect the development of more sensible models for our industry. This will remove any impediment to expansion of our use.
From my experience, overall usability of GoodData platform is great very easy to use, but there is still few features as GoodData platform and interface continuosly evolves, which are not yet available within user interface, but only available via API. For regular users all main and key features and tools are perfect, well defined and very easy to use.
Tableau Desktop has proven to be a lifesaver in many situations. Once we've completed the initial setup, it's simple to use. It has all of the features we need to quickly and efficiently synthesize our data. Tableau Desktop has advanced capabilities to improve our company's data structure and enable self-service for our employees.
When used as a stand-alone tool, Tableau Desktop has unlimited uptime, which is always nice. When used in conjunction with Tableau Server, this tool has as much uptime as your server admins are willing to give it. All in all, I've never had an issue with Tableau's availability.
Tableau Desktop's performance is solid. You can really dig into a large dataset in the form of a spreadsheet, and it exhibits similarly good performance when accessing a moderately sized Oracle database. I noticed that with Tableau Desktop 9.3, the performance using a spreadsheet started to slow around 75K rows by about 60 columns. This was easily remedied by creating an extract and pushing it to Tableau Server, where performance went to lightning fast
Support team has been highly responsive and helpful from our first initial deployment to present day. They engage and work with us. know when to escalate for more challenging problems. They also follow up. Overall have had a very good experience with support
Tableau support has been extremely responsive and willing to help with all of our requests. They have assisted with creating advanced analysis and many different types of custom icons, data formatting, formulas, and actions embedded into graphs. Tableau offers a weekly presentation of features and assists with internal company projects.
It is admittedly hard to train a group of people with disparate levels of ability coming in, but the software is so easy to use that this is not a huge problem; anyone who can follow simple instructions can catch up pretty quickly.
I think the training was good overall, but it was maybe stating the obvious things that a tech savvy young engineer would be able to pick up themselves too. However, the example work books were good and Tableau web community has helped me with many problems
Again, training is the key and the company provides a lot of example videos that will help users discover use cases that will greatly assist their creation of original visualizations. As with any new software tool, productivity will decline for a period. In the case of Tableau, the decline period is short and the later gains are well worth it.
GoodData is best among every other platform I used because it's a cloud based platform and way to easy to use. Its robust predictive analytics and unified data view set it way apart. While Power BI and Tableau excel in visualization, GoodData's focus on comprehensive business intelligence, user engagement analytics, and revenue optimization which made it a strong choice for our organization seeking a holistic analytics solution.
I have used Power BI as well, the pricing is better, and also training costs or certifications are not that high. Since there is python integration in Power BI where I can use data cleaning and visualizing libraries and also some machine learning models. I can import my python scripts and create a visualization on processed data.
Tableau Desktop's scaleability is really limited to the scale of your back-end data systems. If you want to pull down an extract and work quickly in-memory, in my application it scaled to a few tens of millions of rows using the in-memory engine. But it's really only limited by your back-end data store if you have or are willing to invest in an optimized SQL store or purpose-built query engine like Veritca or Netezza or something similar.
Tableau was acquired years ago, and has provided good value with the content created.
Ongoing maintenance costs for the platform, both to maintain desktop and server licensing has made the continuing value questionable when compared to other offerings in the marketplace.
Users have largely been satisfied with the content, but not with the overall performance. This is due to a combination of factors including the performance of the Tableau engines as well as development deficiencies.